Dynamic equivalent model; Frequency Stability; Identification methods; Separation events; System resilience; Utility-scale PV plants
Abstract :
[en] The rapid uptake of renewable energy resources and displacement of synchronous generators may pose threats to system frequency stability and resilience. Starting from the August 2018 separation event in Australia, this work models and discusses how utility-scale PV plants could contribute to frequency stability and resilience of islanded areas following separation events. In this regard, a converter-based dynamic equivalent of aggregated PV power plants is proposed which takes into account possible practical issues such as measurement and coordination delays. The unknown parameters of the proposed model are identified through a novel closed-loop identification process based on least-square minimization. Also, a simplified model is constructed to reproduce the system frequency during the event under study, thereby capturing continuous impact of PV response on the frequency. The proposed aggregated model can considerably reduce the complexity of frequency stability analysis as well as its processing time while capturing with good fidelity the frequency response from PV farms.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Ghazavi Dozein, Mehdi; The University of Melbourne > School of Electrical and Electronic Engineering
Chaspierre, Gilles ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Mancarella, Pierluigi; The University of Melbourne > School of Electrical and Electronic Engineering
Language :
English
Title :
Contribution to System Frequency Stability and Resilience from PV Plants: A Closed-loop System Identification Approach
Publication date :
2020
Event name :
2020 55th International Universities Power Engineering Conference
Event date :
Du 1 septembre 2020 au 4 septembre 2020
Audience :
International
Main work title :
55th International Universities Power Engineering Conference
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